Skip to main content
Glama

search_api

Search the AITuber API to locate endpoints for creating AI videos, checking credits, and publishing to social media. Returns matching endpoints with parameters and examples.

Instructions

Search the AITuber API to find endpoints for creating AI videos, checking credits, exporting to MP4, publishing to YouTube/TikTok/Instagram, and more. Returns matching endpoints with parameters and examples. Use this before execute_api to find the right endpoint.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesWhat you want to do, e.g. "create a video", "list voices", "check credits", "download mp4", "publish to tiktok"
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

As a search tool, it is implicitly read-only. Description mentions it returns endpoints with parameters and examples, which is sufficient for a non-destructive operation. No annotations provided, but description does not hide any behavioral traits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with core purpose, no irrelevant details. Efficient and clear.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema, but description explains what is returned (matching endpoints with parameters and examples). For a simple search with one parameter, this is adequately complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and already includes examples in the parameter description. The tool description does not add deeper meaning beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it searches the AITuber API to find endpoints for various tasks, distinguishing it from the sibling tool execute_api by explicitly saying to use it before execute_api.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly advises to use this tool before execute_api, providing clear when-to-use and alternative guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/aituberapp/ai-video-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server